Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Gemini 2.5 Flash-Lite
Gemini 2.5 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in FACTS Grounding (84.1%), Global-MMLU-Lite (81.1%), MMMU (72.9%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.

GPT-5 mini
OpenAI
GPT-5 mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 60.0% across 5 benchmarks. It excels particularly in AIME 2025 (91.1%), HMMT 2025 (87.8%), GPQA (82.3%). It supports a 528K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.

Gemini 2.5 Flash-Lite
2025-06-17

GPT-5 mini
OpenAI
2025-08-07
1 month newer
Pricing Comparison
Cost per million tokens (USD)

Gemini 2.5 Flash-Lite

GPT-5 mini
Performance Metrics
Context window and performance specifications

Gemini 2.5 Flash-Lite

GPT-5 mini
Average performance across 3 common benchmarks

Gemini 2.5 Flash-Lite

GPT-5 mini
Performance comparison across key benchmark categories

Gemini 2.5 Flash-Lite

GPT-5 mini
GPT-5 mini
2024-05-30
Gemini 2.5 Flash-Lite
2025-01-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.5 Flash-Lite

GPT-5 mini
ZeroEval
OpenAI

Gemini 2.5 Flash-Lite

GPT-5 mini